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Efficient estimators for the land mobile satellite channel

✍ Scribed by Lang, Andreas ;Kaiser, Michael M. ;Sharif, Mohammad Y.

Publisher
John Wiley and Sons
Year
1998
Tongue
English
Weight
107 KB
Volume
16
Category
Article
ISSN
0737-2884

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✦ Synopsis

A novel class of adpative Kalman channel estimators (AKCEs) for low-data-rate signalling via the land mobile satellite (LMS) channel is presented in this paper. The proposed technique is based on a scheme known as the 'parallel processing algorithm' and assumes a discrete Gauss-Markov extension of the LMS channel model. Three different approaches compared against the non-adaptive filter show an improved estimation error variance under various environmental conditions. Trading off computational complexity and performance, the derived maximum a posteriori (MAP) approach has been found to be best applicable.

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